Data Engineer

About the Job: Support the design, development, and implementation of scalable data pipelines and architecture for the organization. Ensure data is clean, reliable, and accessible to drive analytics and business intelligence initiatives.

Location: Dubai, United Arab Emirates (On-site)
Work Conditions: Full-time

Key Responsibilities:

• Support the Director in building and maintaining robust data architecture and solutions.
• Design, construct, install, and maintain large-scale processing systems and data pipelines.
• Extract, transform, and load (ETL) data from a wide variety of sources.
• Implement data governance and data quality best practices.
• Assist in optimizing query performance and monitoring system health.
• Collaborate with data scientists, analysts, and business teams for data enablement.
• Document data processes and system designs for transparency and scalability.

Technical Competencies:

• Strong proficiency in SQL and data modeling.
• Experience with ETL tools (e.g., Talend, Informatica, Apache NiFi).
• Knowledge of cloud platforms (AWS, Azure, or GCP) and data warehousing (e.g., Snowflake, Redshift).
• Proficiency in Python/Scala for data engineering tasks.
• Understanding of CI/CD practices in data workflows.
• Familiarity with orchestration tools (e.g., Airflow, Prefect).

Essential Qualification:

• Bachelor’s degree in Computer Science, Information Systems, or a related field.

Desirable Qualification:

• Master’s in Data Engineering, Computer Science, or related discipline.

Work Experience:

• 3–5 years of hands-on experience in data engineering or data infrastructure roles.

Language Requirements:

• Not explicitly mentioned.